Efficient Tabular LR Parsing
cmp-lg
2008-02-03 v1 Computation and Language
Abstract
We give a new treatment of tabular LR parsing, which is an alternative to Tomita's generalized LR algorithm. The advantage is twofold. Firstly, our treatment is conceptually more attractive because it uses simpler concepts, such as grammar transformations and standard tabulation techniques also know as chart parsing. Secondly, the static and dynamic complexity of parsing, both in space and time, is significantly reduced.
Cite
@article{arxiv.cmp-lg/9605018,
title = {Efficient Tabular LR Parsing},
author = {Mark-Jan Nederhof and Giorgio Satta},
journal= {arXiv preprint arXiv:cmp-lg/9605018},
year = {2008}
}
Comments
8 pages, uses aclap.sty